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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 4 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
15 years 9 months ago
Distributed maximum a posteriori estimation for multi-robot cooperative localization
— This paper presents a distributed Maximum A Posteriori (MAP) estimator for multi-robot Cooperative Localization (CL). As opposed to centralized MAP-based CL, the proposed algor...
Esha D. Nerurkar, Stergios I. Roumeliotis, Agostin...
103
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ISPAN
1997
IEEE
15 years 7 months ago
A method for estimating optimal unrolling times for nested loops
Loop unrolling is one of the most promising parallelization techniques, because the nature of programs causes most of the processing time to be spent in their loops. Unrolling not...
Akira Koseki, Hideaki Komatsu, Yoshiaki Fukazawa
IJSNET
2007
155views more  IJSNET 2007»
15 years 3 months ago
Distributed Bayesian fault diagnosis of jump Markov systems in wireless sensor networks
: A Bayesian distributed online change detection algorithm is proposed for monitoring a dynamical system by a wireless sensor network. The proposed solution relies on modelling the...
Hichem Snoussi, Cédric Richard
JSAC
2010
130views more  JSAC 2010»
15 years 1 months ago
Distributed target tracking using signal strength measurements by a wireless sensor network
Abstract—Wireless Sensor Networks are well suited for tracking targets carrying RFID tags in indoor environments. Tracking based on the received signal strength indication (RSSI)...
Anand Oka, Lutz H.-J. Lampe